No doubt you’ve heard a lot about artificial intelligence and how it’s changing the world of business. However, have you thought about the way it’s working in entertainment and media to bring more meaningful experiences for audiences?
Adding machine learning to entertainment companies can create a more targeted approach to providing what audiences want to see. Considering entertainment has to rely strictly on fickle demographics, this can change everything for consumers and media companies.
Take a look at five burning issues being solved by A.I., including an important category: Analytics.
1. The Use of A.I. in Creating Trailers
We all know the entertainment industry has to rely on sponsors to keep themselves profitable. While streaming has changed the game, the content put forward for subscribers is being more fine-tuned thanks to analytics A.I.
It’s also helping to create what you see in the way of trailers. Two years ago, IBM worked with 20th Century Fox on using machine learning to create a trailer for the horror film “Morgan.” This was the first time a movie trailer was edited using a machine learning process.
This worked by using IBM’s AI program to select specific moments from the film based on the most effective visual, audio, or scene composition elements.
The result was a trailer made exclusively from AI, and likely won’t be the last one.
While this went strictly on the effectiveness of film editing, what about machine learning providing more targeted analytics?
2. Ad-Based Analytics
AI-powered interfaces are already being created in major entertainment companies to help create more targeted ads to audiences. Ad reps enter data into the program based on client meetings to gain analytics on what ads would work the most effectively for specific demographics.
Perhaps this sounds like nothing new, but it’s still evolving. In some cases, this means machine learning going even further by scanning online channels to scope out viewer opinions. It frequently involves the program scanning social media to capture more detailed data.
3. More Personalized and Flexible Viewing Experiences
The real greatness of machine learning today is how it’s creating personalized entertainment experiences and more flexibility. Today’s audiences want numerous options in how they view media content. Human beings can’t possibly manage all of this effectively without the help of machine learning.
At the core of this is A.I. automation, bringing specific entertainment to certain devices or formats on demand. Machine learning platforms understanding human cognitive processes is still a complex procedure, and it’s still in evolution mode now.
4. Viewer Predictions on Places Like Netflix
Even Netflix saw the huge potential in machine learning. A couple of years ago, they helped develop an application called Meson that better manages their machine learning pipelines. These algorithms are how Netflix helps bring so many accurate streaming or DVD recommendations for their subscribers.
Recommendation engines are a major part of machine learning now in helping engage more personally with customers. As A.I. becomes smarter in sorting data, the more intuitive recommendations become to help users find what they want.
It might even look a little scary to some users, even if it’s really working to retain their visitations.
5. Futuristic Innovations Ahead
In development now is machine learning in hi-tech products like interactive children’s books with sound effects and even holograms.
Other A.I. tech includes sampled celebrity voices designed to read anything of your choosing. Even animating 2D characters for animation projects is already underway.
According to Variety above, theme parks like Disneyland have also begun to use machine learning to better accommodate guests.
More advertising fits into this picture, of course. Better targeted machine learning is becoming refined so those in entertainment can truly understand every whim of their audiences.
Visit our website to find out how we can bring A.I. technology to your entertainment and media brands.